An Enhanced Algorithm for Image Processing Based Catheter Selection During Right Coronary Angiography

  • Saeed Alam
  • Sami Ur Rahman
  • Adnan Khalil
  • Fakhre Alam
  • Khurshid Alam
  • Abdul Hadi

Abstract

Background: Image processing based catheter selection is a newly developed procedure in which a catheter is selected based onpatient's image data, acquired prior to the intervention. In this technique, the arteries are extracted from the data followed by thecomputation of geometric parameters for all available catheters.Objectives: To propose an improved algorithm for estimating geometric parameters such as coronary artery curve angle andlength of the coronary artery curve.Material& Methods: We propose a new framework to compute the geometric parameters from the patient magnetic resonance /computed tomography images. In order to meet the clinical time constraint, we calculate CACA and CACL in 3D MR cardiacimages of the patients.Results: The method has been tested on seven MR cardiac images provided by Unieklinikum Wrzburg. The results show moreaccuracy and less computation time as compared to the already developed method.Conclusion: The proposed algorithm uses an enhanced method for extracting 3D curve to calculate the angle and there by greatlyreduces the computation time and improves the accuracy.Keywords: Optimal catheter; Right coronary angiography; Catheter selection; Landmarks; Geometricparameter

Author Biographies

Saeed Alam
Cardiology Unit, Saidu Teaching Hospital, Saidu Medical College, Swat, Pakistan
Sami Ur Rahman
Department of Computer Science and IT, University of Malakand, Pakistan
Adnan Khalil
Department of Computer Science and IT, University of Malakand, Pakistan
Fakhre Alam
Department of Computer Science and IT, University of Malakand, Pakistan
Khurshid Alam
Urology Unit, Nawaz Sharif Kidney Hospital Manglawar, Swat, Pakistan
Abdul Hadi
Cardiology Unit, Saidu Teaching Hospital, Saidu Medical College, Swat, Pakistan
Published
2021-03-17